LAX Project
description
Transcript of LAX Project
LAX Project
• Zenaida A. Barredo• Alley Cheung• Arsen Der-
Aphrahamian• Lucy Harutyunyan• Lernik Rostami• Gevik Shahverdi
Why Tom Bradley ?• It's an international terminal. Therefore, it is very busy most of
the time, and there are enough passengers to sample for our project.
What was measured …..• Loading/Unloading time• Number of cars passing by vs. stopping at departure• Means of transportation (taxi, bus, shuttle, private car)• Reason of trip (vacation vs. business)• Local vs. visiting passengers
What we found out…• Taxis do not create traffic. In fact, private cars create the traffic
because:• They are lost• Loading/unloading takes longer
• Saying good bye to their relatives (hugging, emotions, etc.) which is time consuming
• Also, taxis have specific spots to load/unload passengers and luggages
Video
• Video
Layout of LAX
Methodology• Surveys with taxi drivers & traffic enforcement officers.• Compared cars passing by and cars stopping.• Measured loading and unloading time.• Survey with passengers to establish what determines decision
in their choice of transportation.• Quantitative Measures- Anova, Binomial, F-test, Inference
about Pairs of treatment Means.
Probabilities of Vehicles to take <1minute to load/unload
Probabilities of Vehicles to take 1.1-2 minutes to Load/Unload
1 2 3 4 5 6 7 8 9 10 110.00
0.05
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0.35
TAXI CABS Departure TAXI CABS Arrival PRIVATE CARS Departure PRIVATE CARS Arrival SHUTTLES Departure
Probabilities of Vehicles to take >2 minutes to load/unload
1 2 3 4 5 6 7 8 9 10 110.0
0.1
0.2
0.3
0.4
0.5
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0.8
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TAXI CABS Departure TAXI CABS Arrival PRIVATE CARS Departure PRIVATE CARS Arrival SHUTTLES Departure
Probabilities of Vehicles Stopping By
1 2 3 4 5 6 7 8 9 10 110.00
0.05
0.10
0.15
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0.40
Taxi cabsShuttlesPrivate cars
Probabilities of Vehicles Passing By
1 2 3 4 5 6 7 8 9 10 110.0
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0.2
0.3
0.4
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Taxi cabsShuttlesPrivate cars
ANOVA Departure
SUMMARY
Groups Count Sum Average Variance
Taxi 44 3865 87.84091 3429.579
Shuttles 33 1577 47.78788 1243.047
Private 38 5587 147.0263 24262.51
ANOVA
Source of Variation SS df MS F P-value F crit
Between Groups 178573.6 2 89286.79 9.21702 0.000197 3.077309
Within Groups 1084962 112 9687.164
Total 1263536 114
ANOVA Arrival
SUMMARY
Groups Count Sum Average Variance
Taxi 60 2666 44.43333 737.3345
Private 76 8653 113.8553 10045.41
ANOVA
Source of Variation SS df MS F P-value F crit
Between Groups 161591.8 1 161591.8 27.17164 6.88E-07 3.911795
Within Groups 796908.1 134 5947.076
Total 958499.9 135
Taxi
Private
0 100 200 300 400 500 600 700
ZeroMin - Q1Q 1 - MedianMedian - Q2
Box plot comparison of 115 observations loading and unloading times for Taxis, shuttles and POVsDeparture area
Box plot comparison of 137 observationsloading and unloading times for Taxis and POVs Arrival area
Taxi
Shuttle
Private
0 100 200 300 400 500 600 700 800
ZeroMin - Q1Q 1 - MedianMedian - Q2
Anova- Taxi vs Non-Taxi
SUMMARY
Groups Count Sum Average Variance
count of ppl took taxi 21 59 2.8095238 1.261905
count of ppl did not take taxi 29 74 2.5517241 1.970443
ANOVA
Source of Variation SS df MS F P-value F crit
Between Groups 0.809491 1 0.809491 0.483215 0.490321 4.042652
Within Groups 80.41051 48 1.6752189
Total 81.22 49
Anova- Local vs. Visitors
SUMMARY
Groups Count Sum Average Variance
count of ppl local 34 84 2.470588235 0.923351159
count of ppl visitors 33 81 2.454545455 0.943181818
ANOVA
Source of Variation SS df MS F P-value F crit
Between Groups 0.00431 1 0.004310001 0.004618944 0.946024 3.98856
Within Groups 60.65241 65 0.933113945
Total 60.65672 66
Anova- Business vs. Vacation
SUMMARY
Groups Count Sum Average Variance
count of ppl on business 19 42 2.210526 0.508772
count of ppl on vaca 31 91 2.935484 2.195699
ANOVA
Source of Variation SS df MS F P-value F crit
Between Groups 6.191138 1 6.191138 3.960804 0.052283 4.042652
Within Groups 75.02886 48 1.563101
Total 81.22 49
ANOVA- Taxi vs. Private Car
Anova: Single Factor
SUMMARY
Groups Count Sum Average Variance
Taxi 60 2666 44.43333 737.3345
Private 76 8653 113.8553 10045.41
ANOVA
Source of Variation SS df MS F P-value F crit
Between Groups 161591.8 1 161591.8 27.17164 6.88E-07 3.911795
Within Groups 796908.1 134 5947.076
Total 958499.9 135
Taxi other Locals Visitors Business Vacation 0
5
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35
Series1
Comparison of 50 observations based on three different categories•Passengers (groups) who took a taxi vs. passengers who chose other vehicles•Local passenger (groups) vs. visitors•Business travelers vs. leisure travelers (count of parties)
Box plot comparison of 50 observations based on three different categories•Passengers (groups) who took a taxi vs. passengers who other vehicles•Local passenger (groups) vs. visitors•Business travelers vs. leisure travelers (count of parties)
taxi
other
locals
visitors
business trip
vacation
0 1 2 3 4 5 6 7
ZeroMin - Q1Q1 - MedianMedian - Q2
Conclusion• No conclusion on why travelers chose to take taxi• Failed to find a relationship between • Locals vs. Visitors• Business vs. Leisure• Taxi Cab vs. Other Transportations
• Thus, these factors do not matter• Private cars are the most counted to load/unload passengers• Private vehicles take a significantly longer time to load and
unload• Traffic congestion in LAX is mainly caused by private cars not
taxi cabs
Recommendations• Increase uniformed personnel/traffic coordinators• Limit the loading and unloading time at curbside to 2 minutes• Strictly enforce traffic regulations• Set up electronic signs• Send out traffic alerts within LAX• Provide alternate location for passengers in tour groups• Provide 15 minutes free parking